SNS Index Stress Model w/ 3-Way Interaction | N = 24 | 5 min | Thresh = mean | Manual Intervention of Activity4 Classification
Field Lab | ACDC Lab
2025-02-26
Step 1: Generate Stress/No-Stress Labels: We generate Stress/No-Stress labels for each 5 min interval based on the SNS Index values and the psycho-physiological definition of stress as instantaneous hyperarousal.
Step 2: Regress on Stress/No-Stress: Using the Stress/No-Stress binary variable as the response variable, we run a model that provides explanations for the sources of participant stress.
1 Physical Acitvity (PA) Per Participant & Day
2 Frequencies of Sedentary Activities Per Day and Participant
## , , = CD
##
##
## Work NonWork Driving
## T001 0 0 0
## T002 129 41 0
## T003 82 2 9
## T004 147 0 12
## T005 109 15 14
## T006 74 40 0
## T007 126 0 5
## T008 61 26 20
## T009 0 3 0
## T010 100 0 11
## T011 0 0 0
## T012 68 87 18
## T014 99 25 0
## T015 86 24 6
## T016 104 41 4
## T017 130 0 0
## T018 74 29 0
## T019 0 0 0
## T020 136 12 31
## T021 38 80 40
## T022 75 33 0
## T023 158 0 15
## T024 119 11 0
## T025 126 7 34
##
## , , = WD
##
##
## Work NonWork Driving
## T001 162 22 0
## T002 87 141 23
## T003 102 7 145
## T004 344 15 8
## T005 146 100 69
## T006 178 6 19
## T007 184 28 73
## T008 195 15 17
## T009 254 7 0
## T010 164 61 16
## T011 0 0 0
## T012 75 73 10
## T014 145 112 13
## T015 209 49 19
## T016 194 52 15
## T017 96 41 20
## T018 172 21 6
## T019 100 171 20
## T020 224 9 11
## T021 103 85 62
## T022 169 142 0
## T023 199 55 52
## T024 90 24 22
## T025 223 58 84
##
## , , = ND
##
##
## Work NonWork Driving
## T001 0 115 4
## T002 0 118 0
## T003 0 104 10
## T004 0 160 8
## T005 0 97 21
## T006 0 76 15
## T007 0 116 0
## T008 0 86 6
## T009 0 76 0
## T010 0 97 0
## T011 0 25 0
## T012 0 95 7
## T014 0 97 43
## T015 0 157 13
## T016 0 148 0
## T017 0 52 4
## T018 0 114 5
## T019 0 166 6
## T020 0 91 22
## T021 0 109 28
## T022 0 16 0
## T023 0 103 12
## T024 0 95 0
## T025 0 110 03 Distrubution of SNS Index in Sedentary Activities
4 Viz of Stress Distribution and QQ Plots for T025
5 Viz of Stress Distribution per Participant and Day
6 PA_Percent Plot
7 Stress Percent Plots
8 Big 5 Box Plots
9 Cadence PDF
10 NASA Mental Demand Plot
##
## Descriptive statistics by group
## group: CD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 21 12.86 7.01 13 12.82 8.90 2 24 22 0.04
## Day 2 21 1.00 0.00 1 1.00 0.00 1 1 0 NaN
## Date 3 21 29.38 20.23 28 28.76 26.69 2 64 62 0.19
## N_MD 4 21 10.52 5.77 11 10.59 5.93 1 19 18 -0.14
## Profession 5 21 1.38 0.50 1 1.35 0.00 1 2 1 0.46
## kurtosis se
## Participant -1.43 1.53
## Day NaN 0.00
## Date -1.42 4.42
## N_MD -1.31 1.26
## Profession -1.87 0.11
## ------------------------------------------------------------
## group: WD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 44 12.50 7.29 13.0 12.50 9.64 1 24 23 0.00
## Day 2 44 2.00 0.00 2.0 2.00 0.00 2 2 0 NaN
## Date 3 44 29.07 20.55 31.5 28.47 28.91 1 65 64 0.14
## N_MD 4 44 8.00 4.45 7.5 7.67 5.19 2 17 15 0.51
## Profession 5 44 1.45 0.50 1.0 1.44 0.00 1 2 1 0.18
## kurtosis se
## Participant -1.41 1.10
## Day NaN 0.00
## Date -1.39 3.10
## N_MD -0.96 0.67
## Profession -2.01 0.08
## ------------------------------------------------------------
## group: ND
## vars n mean sd median trimmed mad min max range skew
## Participant 1 24 12.50 7.07 12.5 12.50 8.90 1 24 23 0.00
## Day 2 24 3.00 0.00 3.0 3.00 0.00 3 3 0 NaN
## Date 3 24 31.46 20.74 30.5 30.70 25.95 4 67 63 0.20
## N_MD 4 24 4.88 4.77 3.0 4.15 1.48 1 16 15 1.39
## Profession 5 24 1.42 0.50 1.0 1.40 0.00 1 2 1 0.32
## kurtosis se
## Participant -1.35 1.44
## Day NaN 0.00
## Date -1.34 4.23
## N_MD 0.51 0.97
## Profession -1.98 0.10
11 NASA Physical Demand Plot
##
## Descriptive statistics by group
## group: CD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 21 12.86 7.01 13 12.82 8.90 2 24 22 0.04
## Day 2 21 1.00 0.00 1 1.00 0.00 1 1 0 NaN
## Date 3 21 29.38 20.23 28 28.76 26.69 2 64 62 0.19
## N_PD 4 21 6.81 4.91 5 6.12 2.97 2 18 16 0.96
## Profession 5 21 1.38 0.50 1 1.35 0.00 1 2 1 0.46
## kurtosis se
## Participant -1.43 1.53
## Day NaN 0.00
## Date -1.42 4.42
## N_PD -0.37 1.07
## Profession -1.87 0.11
## ------------------------------------------------------------
## group: WD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 44 12.50 7.29 13.0 12.50 9.64 1 24 23 0.00
## Day 2 44 2.00 0.00 2.0 2.00 0.00 2 2 0 NaN
## Date 3 44 29.07 20.55 31.5 28.47 28.91 1 65 64 0.14
## N_PD 4 44 5.45 3.74 4.0 4.92 2.97 1 16 15 1.26
## Profession 5 44 1.45 0.50 1.0 1.44 0.00 1 2 1 0.18
## kurtosis se
## Participant -1.41 1.10
## Day NaN 0.00
## Date -1.39 3.10
## N_PD 1.08 0.56
## Profession -2.01 0.08
## ------------------------------------------------------------
## group: ND
## vars n mean sd median trimmed mad min max range skew
## Participant 1 24 12.50 7.07 12.5 12.5 8.90 1 24 23 0.00
## Day 2 24 3.00 0.00 3.0 3.0 0.00 3 3 0 NaN
## Date 3 24 31.46 20.74 30.5 30.7 25.95 4 67 63 0.20
## N_PD 4 24 4.67 3.25 4.0 4.3 2.22 1 15 14 1.37
## Profession 5 24 1.42 0.50 1.0 1.4 0.00 1 2 1 0.32
## kurtosis se
## Participant -1.35 1.44
## Day NaN 0.00
## Date -1.34 4.23
## N_PD 1.86 0.66
## Profession -1.98 0.10
12 NASA Temporal Demand Plot
13 NASA Performance Plot
##
## Descriptive statistics by group
## group: CD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 21 12.86 7.01 13 12.82 8.90 2 24 22 0.04
## Day 2 21 1.00 0.00 1 1.00 0.00 1 1 0 NaN
## Date 3 21 29.38 20.23 28 28.76 26.69 2 64 62 0.19
## N_MD 4 21 10.52 5.77 11 10.59 5.93 1 19 18 -0.14
## Profession 5 21 1.38 0.50 1 1.35 0.00 1 2 1 0.46
## kurtosis se
## Participant -1.43 1.53
## Day NaN 0.00
## Date -1.42 4.42
## N_MD -1.31 1.26
## Profession -1.87 0.11
## ------------------------------------------------------------
## group: WD
## vars n mean sd median trimmed mad min max range skew
## Participant 1 44 12.50 7.29 13.0 12.50 9.64 1 24 23 0.00
## Day 2 44 2.00 0.00 2.0 2.00 0.00 2 2 0 NaN
## Date 3 44 29.07 20.55 31.5 28.47 28.91 1 65 64 0.14
## N_MD 4 44 8.00 4.45 7.5 7.67 5.19 2 17 15 0.51
## Profession 5 44 1.45 0.50 1.0 1.44 0.00 1 2 1 0.18
## kurtosis se
## Participant -1.41 1.10
## Day NaN 0.00
## Date -1.39 3.10
## N_MD -0.96 0.67
## Profession -2.01 0.08
## ------------------------------------------------------------
## group: ND
## vars n mean sd median trimmed mad min max range skew
## Participant 1 24 12.50 7.07 12.5 12.50 8.90 1 24 23 0.00
## Day 2 24 3.00 0.00 3.0 3.00 0.00 3 3 0 NaN
## Date 3 24 31.46 20.74 30.5 30.70 25.95 4 67 63 0.20
## N_MD 4 24 4.88 4.77 3.0 4.15 1.48 1 16 15 1.39
## Profession 5 24 1.42 0.50 1.0 1.40 0.00 1 2 1 0.32
## kurtosis se
## Participant -1.35 1.44
## Day NaN 0.00
## Date -1.34 4.23
## N_MD 0.51 0.97
## Profession -1.98 0.10
14 NASA Effort Plot
15 NASA Frustration Plot
16 Sleep Duration PDF
16.0.1 mCadence PDF
17 mCadence Box Plot
18 EDA Plots
19 Correlation Plot
20 Full Logistic Regression Mixed Effects Model (Stress from SNS Index)
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: SNS_Stress ~ Cadence + Day * Period + Activity4 + Day * PA_Percent *
## PA_Intensity + Sleep_Time + Profession + N_MD + N_PD + N_P +
## Agreeableness + Conscientiousness + Extraversion + Neuroticism +
## Openness + (1 | Participant)
## Data: df_sedentMultimodal
##
## AIC BIC logLik deviance df.resid
## 8734 8946 -4338 8676 11147
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -12.333 -0.484 0.076 0.377 25.078
##
## Random effects:
## Groups Name Variance Std.Dev.
## Participant (Intercept) 2.82 1.68
## Number of obs: 11176, groups: Participant, 24
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -15.68091 4.11026 -3.82 0.00014 ***
## Cadence 0.07850 0.00426 18.42 < 2e-16 ***
## DayWD -3.00362 1.11108 -2.70 0.00686 **
## DayND -2.60406 0.78360 -3.32 0.00089 ***
## PeriodAfternoon 0.60041 0.13112 4.58 4.7e-06 ***
## Activity4NonWork -0.35214 0.08355 -4.21 2.5e-05 ***
## Activity4Driving 0.68411 0.10199 6.71 2.0e-11 ***
## PA_Percent -0.20044 0.06786 -2.95 0.00314 **
## PA_Intensity -0.00660 0.01917 -0.34 0.73086
## Sleep_Time 0.06032 0.03333 1.81 0.07029 .
## ProfessionSP -1.42235 0.79096 -1.80 0.07214 .
## N_MD 0.10307 0.01384 7.45 9.6e-14 ***
## N_PD 0.01032 0.01556 0.66 0.50690
## N_P 0.04943 0.01066 4.64 3.5e-06 ***
## Agreeableness 0.04118 0.22144 0.19 0.85245
## Conscientiousness -0.08896 0.23479 -0.38 0.70477
## Extraversion 0.69897 0.23390 2.99 0.00281 **
## Neuroticism 0.38558 0.26629 1.45 0.14764
## Openness 1.23476 0.24135 5.12 3.1e-07 ***
## DayWD:PeriodAfternoon -0.60723 0.15306 -3.97 7.3e-05 ***
## DayND:PeriodAfternoon -0.57229 0.17874 -3.20 0.00137 **
## DayWD:PA_Percent 0.61980 0.10058 6.16 7.2e-10 ***
## DayND:PA_Percent 0.38876 0.07446 5.22 1.8e-07 ***
## DayWD:PA_Intensity 0.04145 0.02816 1.47 0.14105
## DayND:PA_Intensity 0.06678 0.02023 3.30 0.00096 ***
## PA_Percent:PA_Intensity 0.00496 0.00169 2.93 0.00340 **
## DayWD:PA_Percent:PA_Intensity -0.01204 0.00242 -4.97 6.7e-07 ***
## DayND:PA_Percent:PA_Intensity -0.00827 0.00179 -4.63 3.7e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.220015 (tol = 0.002, component 1)
## Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?
## Model is nearly unidentifiable: large eigenvalue ratio
## - Rescale variables?| Observations | 11176 |
| Dependent variable | SNS_Stress |
| Type | Mixed effects generalized linear model |
| Family | binomial |
| Link | logit |
| AIC | 8734.188 |
| BIC | 8946.512 |
| Pseudo-R² (fixed effects) | 0.443 |
| Pseudo-R² (total) | 0.700 |
| Est. | S.E. | z val. | p | |
|---|---|---|---|---|
| (Intercept) | -15.681 | 4.110 | -3.815 | 0.000 |
| Cadence | 0.079 | 0.004 | 18.422 | 0.000 |
| DayWD | -3.004 | 1.111 | -2.703 | 0.007 |
| DayND | -2.604 | 0.784 | -3.323 | 0.001 |
| PeriodAfternoon | 0.600 | 0.131 | 4.579 | 0.000 |
| Activity4NonWork | -0.352 | 0.084 | -4.215 | 0.000 |
| Activity4Driving | 0.684 | 0.102 | 6.708 | 0.000 |
| PA_Percent | -0.200 | 0.068 | -2.954 | 0.003 |
| PA_Intensity | -0.007 | 0.019 | -0.344 | 0.731 |
| Sleep_Time | 0.060 | 0.033 | 1.810 | 0.070 |
| ProfessionSP | -1.422 | 0.791 | -1.798 | 0.072 |
| N_MD | 0.103 | 0.014 | 7.447 | 0.000 |
| N_PD | 0.010 | 0.016 | 0.664 | 0.507 |
| N_P | 0.049 | 0.011 | 4.637 | 0.000 |
| Agreeableness | 0.041 | 0.221 | 0.186 | 0.852 |
| Conscientiousness | -0.089 | 0.235 | -0.379 | 0.705 |
| Extraversion | 0.699 | 0.234 | 2.988 | 0.003 |
| Neuroticism | 0.386 | 0.266 | 1.448 | 0.148 |
| Openness | 1.235 | 0.241 | 5.116 | 0.000 |
| DayWD:PeriodAfternoon | -0.607 | 0.153 | -3.967 | 0.000 |
| DayND:PeriodAfternoon | -0.572 | 0.179 | -3.202 | 0.001 |
| DayWD:PA_Percent | 0.620 | 0.101 | 6.162 | 0.000 |
| DayND:PA_Percent | 0.389 | 0.074 | 5.221 | 0.000 |
| DayWD:PA_Intensity | 0.041 | 0.028 | 1.472 | 0.141 |
| DayND:PA_Intensity | 0.067 | 0.020 | 3.301 | 0.001 |
| PA_Percent:PA_Intensity | 0.005 | 0.002 | 2.929 | 0.003 |
| DayWD:PA_Percent:PA_Intensity | -0.012 | 0.002 | -4.971 | 0.000 |
| DayND:PA_Percent:PA_Intensity | -0.008 | 0.002 | -4.629 | 0.000 |
| Group | Parameter | Std. Dev. |
|---|---|---|
| Participant | (Intercept) | 1.680 |
| Group | # groups | ICC |
|---|---|---|
| Participant | 24 | 0.462 |
## $Participant
## (Intercept)
## T001 -0.8540
## T002 -2.9309
## T003 -0.2721
## T004 -0.7983
## T005 2.2024
## T006 2.9595
## T007 0.3268
## T008 -1.1666
## T009 -2.5408
## T010 1.6349
## T011 -1.2626
## T012 1.8691
## T014 -0.9215
## T015 -1.3702
## T016 -3.0227
## T017 0.7795
## T018 1.1604
## T019 2.0140
## T020 2.2303
## T021 1.3081
## T022 -0.2852
## T023 0.1274
## T024 -1.1449
## T025 -0.0809
##
## with conditional variances for "Participant"
21 Remove Agreeableness from the Model
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: SNS_Stress ~ Cadence + Day * Period + Activity4 + Day * PA_Percent *
## PA_Intensity + Sleep_Time + Profession + N_MD + N_PD + N_P +
## Conscientiousness + Extraversion + Neuroticism + Openness +
## (1 | Participant)
## Data: df_sedentMultimodal
##
## AIC BIC logLik deviance df.resid
## 8732 8937 -4338 8676 11148
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -12.343 -0.484 0.076 0.377 25.100
##
## Random effects:
## Groups Name Variance Std.Dev.
## Participant (Intercept) 2.83 1.68
## Number of obs: 11176, groups: Participant, 24
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -15.38357 3.72935 -4.12 3.7e-05 ***
## Cadence 0.07850 0.00426 18.42 < 2e-16 ***
## DayWD -3.00468 1.10951 -2.71 0.00677 **
## DayND -2.60342 0.78095 -3.33 0.00086 ***
## PeriodAfternoon 0.60025 0.13107 4.58 4.7e-06 ***
## Activity4NonWork -0.35180 0.08354 -4.21 2.5e-05 ***
## Activity4Driving 0.68413 0.10199 6.71 2.0e-11 ***
## PA_Percent -0.19994 0.06768 -2.95 0.00314 **
## PA_Intensity -0.00649 0.01911 -0.34 0.73402
## Sleep_Time 0.06005 0.03331 1.80 0.07145 .
## ProfessionSP -1.47678 0.73678 -2.00 0.04503 *
## N_MD 0.10298 0.01383 7.45 9.7e-14 ***
## N_PD 0.01040 0.01554 0.67 0.50356
## N_P 0.04941 0.01066 4.64 3.5e-06 ***
## Conscientiousness -0.08550 0.23391 -0.37 0.71471
## Extraversion 0.70366 0.23096 3.05 0.00231 **
## Neuroticism 0.37678 0.25994 1.45 0.14720
## Openness 1.23440 0.24048 5.13 2.9e-07 ***
## DayWD:PeriodAfternoon -0.60710 0.15300 -3.97 7.2e-05 ***
## DayND:PeriodAfternoon -0.57196 0.17868 -3.20 0.00137 **
## DayWD:PA_Percent 0.61960 0.10054 6.16 7.1e-10 ***
## DayND:PA_Percent 0.38863 0.07430 5.23 1.7e-07 ***
## DayWD:PA_Intensity 0.04151 0.02812 1.48 0.13996
## DayND:PA_Intensity 0.06675 0.02016 3.31 0.00093 ***
## PA_Percent:PA_Intensity 0.00495 0.00169 2.93 0.00339 **
## DayWD:PA_Percent:PA_Intensity -0.01204 0.00242 -4.97 6.6e-07 ***
## DayND:PA_Percent:PA_Intensity -0.00827 0.00178 -4.64 3.5e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 4 (failure to converge in 10000 evaluations)
## Model failed to converge with max|grad| = 0.199304 (tol = 0.002, component 1)
## Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?
## Model is nearly unidentifiable: large eigenvalue ratio
## - Rescale variables?
## failure to converge in 10000 evaluations| Observations | 11176 |
| Dependent variable | SNS_Stress |
| Type | Mixed effects generalized linear model |
| Family | binomial |
| Link | logit |
| AIC | 8732.220 |
| BIC | 8937.223 |
| Pseudo-R² (fixed effects) | 0.442 |
| Pseudo-R² (total) | 0.700 |
| Est. | S.E. | z val. | p | |
|---|---|---|---|---|
| (Intercept) | -15.384 | 3.729 | -4.125 | 0.000 |
| Cadence | 0.078 | 0.004 | 18.422 | 0.000 |
| DayWD | -3.005 | 1.110 | -2.708 | 0.007 |
| DayND | -2.603 | 0.781 | -3.334 | 0.001 |
| PeriodAfternoon | 0.600 | 0.131 | 4.580 | 0.000 |
| Activity4NonWork | -0.352 | 0.084 | -4.211 | 0.000 |
| Activity4Driving | 0.684 | 0.102 | 6.708 | 0.000 |
| PA_Percent | -0.200 | 0.068 | -2.954 | 0.003 |
| PA_Intensity | -0.006 | 0.019 | -0.340 | 0.734 |
| Sleep_Time | 0.060 | 0.033 | 1.803 | 0.071 |
| ProfessionSP | -1.477 | 0.737 | -2.004 | 0.045 |
| N_MD | 0.103 | 0.014 | 7.445 | 0.000 |
| N_PD | 0.010 | 0.016 | 0.669 | 0.504 |
| N_P | 0.049 | 0.011 | 4.637 | 0.000 |
| Conscientiousness | -0.086 | 0.234 | -0.366 | 0.715 |
| Extraversion | 0.704 | 0.231 | 3.047 | 0.002 |
| Neuroticism | 0.377 | 0.260 | 1.449 | 0.147 |
| Openness | 1.234 | 0.240 | 5.133 | 0.000 |
| DayWD:PeriodAfternoon | -0.607 | 0.153 | -3.968 | 0.000 |
| DayND:PeriodAfternoon | -0.572 | 0.179 | -3.201 | 0.001 |
| DayWD:PA_Percent | 0.620 | 0.101 | 6.163 | 0.000 |
| DayND:PA_Percent | 0.389 | 0.074 | 5.230 | 0.000 |
| DayWD:PA_Intensity | 0.042 | 0.028 | 1.476 | 0.140 |
| DayND:PA_Intensity | 0.067 | 0.020 | 3.310 | 0.001 |
| PA_Percent:PA_Intensity | 0.005 | 0.002 | 2.930 | 0.003 |
| DayWD:PA_Percent:PA_Intensity | -0.012 | 0.002 | -4.972 | 0.000 |
| DayND:PA_Percent:PA_Intensity | -0.008 | 0.002 | -4.637 | 0.000 |
| Group | Parameter | Std. Dev. |
|---|---|---|
| Participant | (Intercept) | 1.680 |
| Group | # groups | ICC |
|---|---|---|
| Participant | 24 | 0.462 |
22 Optimal and Scaled Model
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula:
## SNS_Stress ~ s_Cadence + Day * Period + Activity4 + Day * s_PA_Percent *
## s_PA_Intensity + s_Sleep_Time + Profession + s_N_MD + s_N_PD +
## s_N_P + s_Conscientiousness + s_Extraversion + s_Neuroticism +
## s_Openness + (1 | Participant)
## Data: df_sedentMultimodal
##
## AIC BIC logLik deviance df.resid
## 8732 8937 -4338 8676 11148
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -12.346 -0.484 0.076 0.377 25.144
##
## Random effects:
## Groups Name Variance Std.Dev.
## Participant (Intercept) 2.83 1.68
## Number of obs: 11176, groups: Participant, 24
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.3996 0.4827 0.83 0.4077
## s_Cadence 0.5521 0.0300 18.42 < 2e-16 ***
## DayWD 0.6482 0.1467 4.42 1.0e-05 ***
## DayND 0.8438 0.1879 4.49 7.1e-06 ***
## PeriodAfternoon 0.6002 0.1312 4.57 4.8e-06 ***
## Activity4NonWork -0.3518 0.0836 -4.21 2.6e-05 ***
## Activity4Driving 0.6842 0.1020 6.71 2.0e-11 ***
## s_PA_Percent -0.1669 0.0852 -1.96 0.0503 .
## s_PA_Intensity 0.4423 0.0857 5.16 2.4e-07 ***
## s_Sleep_Time 0.0856 0.0475 1.80 0.0715 .
## ProfessionSP -1.4772 0.7399 -2.00 0.0459 *
## s_N_MD 0.5343 0.0719 7.43 1.0e-13 ***
## s_N_PD 0.0400 0.0594 0.67 0.5012
## s_N_P 0.2439 0.0528 4.62 3.8e-06 ***
## s_Conscientiousness -0.1394 0.3815 -0.37 0.7149
## s_Extraversion 1.3244 0.4363 3.04 0.0024 **
## s_Neuroticism 0.6101 0.4233 1.44 0.1495
## s_Openness 2.0950 0.4108 5.10 3.4e-07 ***
## DayWD:PeriodAfternoon -0.6070 0.1532 -3.96 7.4e-05 ***
## DayND:PeriodAfternoon -0.5721 0.1789 -3.20 0.0014 **
## DayWD:s_PA_Percent 1.3180 0.1365 9.66 < 2e-16 ***
## DayND:s_PA_Percent 0.6526 0.1188 5.49 4.0e-08 ***
## DayWD:s_PA_Intensity -0.8453 0.1312 -6.44 1.2e-10 ***
## DayND:s_PA_Intensity -0.2398 0.1238 -1.94 0.0527 .
## s_PA_Percent:s_PA_Intensity 0.3026 0.1086 2.79 0.0053 **
## DayWD:s_PA_Percent:s_PA_Intensity -0.7343 0.1573 -4.67 3.0e-06 ***
## DayND:s_PA_Percent:s_PA_Intensity -0.5047 0.1159 -4.36 1.3e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00203935 (tol = 0.002, component 1)| Observations | 11176 |
| Dependent variable | SNS_Stress |
| Type | Mixed effects generalized linear model |
| Family | binomial |
| Link | logit |
| AIC | 8732.220 |
| BIC | 8937.222 |
| Pseudo-R² (fixed effects) | 0.442 |
| Pseudo-R² (total) | 0.700 |
| Est. | 2.5% | 97.5% | z val. | p | |
|---|---|---|---|---|---|
| (Intercept) | 0.400 | -0.546 | 1.346 | 0.828 | 0.408 |
| s_Cadence | 0.552 | 0.493 | 0.611 | 18.420 | 0.000 |
| DayWD | 0.648 | 0.361 | 0.936 | 4.418 | 0.000 |
| DayND | 0.844 | 0.476 | 1.212 | 4.491 | 0.000 |
| PeriodAfternoon | 0.600 | 0.343 | 0.857 | 4.573 | 0.000 |
| Activity4NonWork | -0.352 | -0.516 | -0.188 | -4.210 | 0.000 |
| Activity4Driving | 0.684 | 0.484 | 0.884 | 6.706 | 0.000 |
| s_PA_Percent | -0.167 | -0.334 | 0.000 | -1.958 | 0.050 |
| s_PA_Intensity | 0.442 | 0.274 | 0.610 | 5.164 | 0.000 |
| s_Sleep_Time | 0.086 | -0.007 | 0.179 | 1.802 | 0.071 |
| ProfessionSP | -1.477 | -2.927 | -0.027 | -1.997 | 0.046 |
| s_N_MD | 0.534 | 0.393 | 0.675 | 7.435 | 0.000 |
| s_N_PD | 0.040 | -0.077 | 0.156 | 0.673 | 0.501 |
| s_N_P | 0.244 | 0.140 | 0.347 | 4.621 | 0.000 |
| s_Conscientiousness | -0.139 | -0.887 | 0.608 | -0.365 | 0.715 |
| s_Extraversion | 1.324 | 0.469 | 2.179 | 3.036 | 0.002 |
| s_Neuroticism | 0.610 | -0.220 | 1.440 | 1.441 | 0.150 |
| s_Openness | 2.095 | 1.290 | 2.900 | 5.100 | 0.000 |
| DayWD:PeriodAfternoon | -0.607 | -0.907 | -0.307 | -3.963 | 0.000 |
| DayND:PeriodAfternoon | -0.572 | -0.923 | -0.222 | -3.198 | 0.001 |
| DayWD:s_PA_Percent | 1.318 | 1.051 | 1.585 | 9.659 | 0.000 |
| DayND:s_PA_Percent | 0.653 | 0.420 | 0.885 | 5.492 | 0.000 |
| DayWD:s_PA_Intensity | -0.845 | -1.103 | -0.588 | -6.441 | 0.000 |
| DayND:s_PA_Intensity | -0.240 | -0.482 | 0.003 | -1.937 | 0.053 |
| s_PA_Percent:s_PA_Intensity | 0.303 | 0.090 | 0.515 | 2.788 | 0.005 |
| DayWD:s_PA_Percent:s_PA_Intensity | -0.734 | -1.043 | -0.426 | -4.668 | 0.000 |
| DayND:s_PA_Percent:s_PA_Intensity | -0.505 | -0.732 | -0.278 | -4.356 | 0.000 |
| Group | Parameter | Std. Dev. |
|---|---|---|
| Participant | (Intercept) | 1.680 |
| Group | # groups | ICC |
|---|---|---|
| Participant | 24 | 0.462 |
23 Visualization of Stress from SNS Index Model
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24 Composite Figure for Stress from SNS Index Model
## [1] "T001" "T002" "T003" "T004" "T005" "T006" "T007" "T008" "T009" "T010"
## [11] "T011" "T012" "T014" "T015" "T016" "T017" "T018" "T019" "T020" "T021"
## [21] "T022" "T023" "T024" "T025"